MétaCan
Menu
Back to cohort
Record W4393986514 · doi:10.1080/10428232.2024.2338310

Social Justice, Anti-Racism, and Disproportionality in Social Work: A Capabilities Approach

2024· article· en· W4393986514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Progressive Human Services · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRacismCriminologySocial justiceSociologyWork (physics)Social workPolitical scienceSocial psychologyGender studiesPsychologyLawEngineering

Abstract

fetched live from OpenAlex

Despite social justice as an ethical imperative, racism is an ongoing problem in social work. Using critical race theory, this paper outlines the capabilities approach (CA) as one conceptual orientation toward social justice, promoting it as a useful anti-racist tool in social work. Employing CA to analyze the disproportionality in social services for racialized individuals in child welfare and health services in the United States and Canada, the article underscores the value of CA to investigate what should constitute social justice in social work. Indigenous Peoples/Native Americans and those of African descent will be the focus of attention. The article delineates how social work might utilize the commitments of CA for themselves as individuals, as well as in social work theory, education, practice, and policy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.420
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it